Journal
INFORMATION SCIENCES
Volume 146, Issue 1-4, Pages 221-237Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/S0020-0255(02)00208-6
Keywords
clustering; genetic algorithms; K-Means algorithm; satellite image classification
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A genetic algorithm-based efficient clustering technique that utilizes the principles of K-Means algorithm is described in this paper. The algorithm called KGA-clustering, while exploiting the searching capability of K-Means, avoids its major limitation of getting stuck at locally optimal values. Its superiority over the K-Means algorithm and another genetic algorithm-based clustering method, is extensively demonstrated for several artificial and real life data sets. A real life application of the KGA-clustering in classifying the pixels of a satellite image of a part of the city of Mumbai is provided. (C) 2002 Elsevier Science Inc. All rights reserved.
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